A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm

In this paper, a feed ration problem is presented as a mixed integer programming problem. An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of...

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Main Authors: Godfrey Chagwiza, Chipo Chivuraise, Christopher T. Gadzirayi
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Advances in Agriculture
Online Access:http://dx.doi.org/10.1155/2016/2313695
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author Godfrey Chagwiza
Chipo Chivuraise
Christopher T. Gadzirayi
author_facet Godfrey Chagwiza
Chipo Chivuraise
Christopher T. Gadzirayi
author_sort Godfrey Chagwiza
collection DOAJ
description In this paper, a feed ration problem is presented as a mixed integer programming problem. An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of previous research to investigate the effects of Moringa oleifera inclusion in poultry feed ration. The results show that the farmer is likely to gain US$0.89 more if Moringa oleifera is included in the feed ration. Results also show superiority of the Bat algorithm in terms of execution time and number of iterations required to find the optimum solution as compared with the results obtained by the Cplex solver. Results revealed that there is a significant economic benefit of Moringa oleifera inclusion into the poultry feed ration.
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institution Kabale University
issn 2356-654X
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publishDate 2016-01-01
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series Advances in Agriculture
spelling doaj-art-3afa0a3ea4314dc89e41535d7c31337b2025-08-20T03:55:36ZengWileyAdvances in Agriculture2356-654X2314-75392016-01-01201610.1155/2016/23136952313695A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat AlgorithmGodfrey Chagwiza0Chipo Chivuraise1Christopher T. Gadzirayi2Department of Applied Mathematics, National University of Science & Technology, P.O. Box AC939, Ascot, Bulawayo, ZimbabweDepartment of Agricultural Economics and Extension, University of Zimbabwe, P.O. Box MP167, Mt Pleasant, Harare, ZimbabweDepartment of Agricultural Economics, Education and Extension, Bindura University of Science Education, Private Bag Box 1020, Bindura, ZimbabweIn this paper, a feed ration problem is presented as a mixed integer programming problem. An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of previous research to investigate the effects of Moringa oleifera inclusion in poultry feed ration. The results show that the farmer is likely to gain US$0.89 more if Moringa oleifera is included in the feed ration. Results also show superiority of the Bat algorithm in terms of execution time and number of iterations required to find the optimum solution as compared with the results obtained by the Cplex solver. Results revealed that there is a significant economic benefit of Moringa oleifera inclusion into the poultry feed ration.http://dx.doi.org/10.1155/2016/2313695
spellingShingle Godfrey Chagwiza
Chipo Chivuraise
Christopher T. Gadzirayi
A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
Advances in Agriculture
title A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
title_full A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
title_fullStr A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
title_full_unstemmed A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
title_short A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm
title_sort mixed integer programming poultry feed ration optimisation problem using the bat algorithm
url http://dx.doi.org/10.1155/2016/2313695
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